Additional Information

I received my PhD in Computer Science in May 2021 from the University of Maryland, College Park, under the mentorship of Dr. Eytan Ruppin. In June 2021, I started my postdoc at the Artificial Intelligence Resource, Molecular Imaging Branch, NCI, where I began developing advanced deep learning-based algorithms to automatically extract and quantify prognostic features from gigapixel-sized digital pathology images of cancer patients. I have a strong background in computer science, machine learning, and with expertise in the development of computational deconvolution methods that can analyze bulk DNA and RNA Sequencing data to characterize the tumor microenvironment and predict responses to immune checkpoint blockade therapies. My current research focuses on the development of Artificial Intelligence (AI) approaches for spatial analysis of the tumor microenvironment to identify novel biomarkers predictive of response to immune checkpoint blockade therapies. (Google scholar profile: https://scholar.google.com/citations?user=AsIX1JAAAAAJ&hl=en ).